MuCo-3DHP and MuPoTS Datasets. MuCo-3DHP and MuPoTS-3D, two datasets proposed by [1]}, were used to assess the framework’s ability to estimate multi-person 3D poses. MuCo-3DHP, the training set we used is a large-scale synthesized dataset, which was generated from single person 3D pose estimation dataset MPI-INF-3DHP [2]} by randomly compositing the persons. We use the same set of MuCo-3DHP synthesized images from [3]} for a fair comparison. 400K frames of MuCo-3DHP are used for training, among which half are background augmented. We used MuPoTS-3D datasets as our test set which is a real-world outdoor scenes dataset captured by a marker-less motion capture system. Besides, an additional 2D human keypoint dataset COCO is used to train together with the MuCo-3DHP dataset following Mehta et al. [3]}. Accordingly, we set the loss value of depth becomes zero when the COCO dataset was imported.
